Stochastic generation of point rainfall data at sub-daily timescales: A comparison of DRIP and NSRP

MODSIM05 - International Congress on Modelling and Simulation: Advances and Applications for Management and Decision Making, Proceedings

Volumn , Issue , 2005, Pages 1813-1819

  Frost, A J ^a   Srikanthan, R ^a   Cowpertwait, P S P ^b  

^a BUREAU OF METEOROLOGY   (Australia)

^b MASSEY UNIVERSITY   (New Zealand)

Author keywords

Comparison; DRIP; NSRP; Stochastic generation; Sub daily rainfall

Indexed keywords

CATCHMENT HYDROLOGY; COMPARISON; DAILY RAINFALL; DATA LENGTH; DRIP; EXTREME RAINFALL; INTENSITY PULSE; NSRP; PLUVIOGRAPH; PROCESS MODEL; RAINFALL DATA; RECTANGULAR PULSE; RELATIVE ABUNDANCE; SHORT DURATION RAINFALLS; SINGLE SITES; STOCHASTIC GENERATION; STORM DEPTH; STORM INTENSITY; TIME-SCALES; URBAN SYSTEMS; DAILY RAINFALL SERIES; PROCESS MODELING;

CALIBRATION; CATCHMENTS; DECISION MAKING; INFORMATION MANAGEMENT; RAIN; STOCHASTIC SYSTEMS; STORMS; CELL PROLIFERATION;

STOCHASTIC MODELS;

EID: 80053094809     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (23)

1. Cameron, D, K. Beven and J. Tawn (2000), An evaluation of three stochastic rainfall models, Journal of Hydrology, Vol. 228, 130-149. (Pubitemid 30156972)
2. Coombes, P.J., A.J. Frost, G. Kuczera, G. O'Loughlin and S. Lees (2003), Rainwater tank options for stormwater management in the Upper Parramatta River Catchment, Australian Journal of Water Resources.
3. Cowpertwait, P.S.P. (1991), Further Developments of the Neyman-Scott Clustered point Process for Modeling Rainfall, Water Resources Research, Vol. 27(7), 1431-1438.
4. Cowpertwait, P.S.P. and P.E. O'Connell (1997), A regionalised Neyman-Scott model of rainfall with convective and stratiform cells, Hydrology and Earth Sciences, Vol. 1, 71-80.
5. Cowpertwait, P.S.P. (1998), A Poisson-cluster model of rainfall: High-order moments and extreme values, Proceedings of the Royal Society of London, Series A: Mathematical and Physical Sciences, Vol. 454, 885-898.
6. Cowpertwait, P.S.P., C.G. Kilsby and P.E. O'Connell (2002), A space-time Neyman-Scott model of rainfall: Empirical analysis of extremes, Water Resources Research, Vol. 38(8), 6(1-14).
7. Eagleson, P.S. (1978), Climate, Soil, and Vegetation 2. The Distribution of Annual Precipitation Derived From Observed Storm Sequences, Water Resources Research, Vol. 14(5), 713-721.
8. Frost, A.J., R. Srikanthan and P.S.P. Cowpertwait (2004), Stochastic generation of point rainfall data at subdaily timescales: a comparison of DRIP and NSRP, Report 04/09, Cooperative Research Centre for Catchment Hydrology.
9. Gyasi-Agyei, Y. and G.R. Willgoose (1997), A hybrid model for point rainfall modelling, Water Resources Research, Vol. 33(7), 1699-1706. (Pubitemid 27295410)
10. Gyasi-Agyei, Y. (1999), Identification of regional parameters of a stochastic model for rainfall disaggregation, Journal of Hydrology, Vol. 223, 148-163.
11. Gyasi-Agyei, Y. and G.R. Willgoose (1999), Generalisation of a hybrid model for point rainfall, Journal of Hydrology, Vol. 219, 218-224. (Pubitemid 29341678)
12. Heneker, T.M., M.F. Lambert, and G. Kuczera (2001), A point rainfall model for risk-based design, Journal of Hydrology, Vol. 247( 1-2), 54-71. (Pubitemid 32515881)
13. Jordan, P. and A.W.Seed (2002), Are we taking the point too far? A problem with design temporal patterns at catchment scale, Hydrology and Water resources Symposium 2002. The Institution of Engineers, Australia, Melbourne.
14. Koutsoyiannis, D. and E. Foufoula-Georgiou (1993), A Scaling Model of a Storm Hyetograph, Water Resources Research, Vol. 29(7), 2345-2361.
15. Koutsoyiannis, D and D. Pachakis (1996), Deterministic chaos versus stochasticity in analysis and modeling of point rainfall series, Journal of Geophysical Research, Vol. 101(D21), 26,444-26,451.
16. Koutsoyiannis, D., C. Onof, and H.S. Wheater (2003), Multivariate rainfall disaggregation at a fine timescale, Water Resources Research, Vol. 39(7), 1-18.
17. Kuczera, G., M. Lambert, T.M. Heneker, S. Jennings, A.J. Frost and P.J. Coombes (2003), Joint Probability and Design Storms at the Crossroads. in 28th International Hydrology and Water Resources Symposium. The Institution of Engineers, Australia, Wollongong.
18. Menabde, M and M. Sivapalan (2000), Modeling of rainfall time series and extremes using bounded random cascades and Levy-stable distribution, Water Resources Research, Vol. 36,(11), 3293-3300.
19. Northrop, P.J. (1998), A clustered spatial-temporal model of rainfall, Proceedings of the Royal Society of London, Series A: Mathematical and Physical Sciences, Vol. 454, 1875-1888.
20. Onof, C. and H.S. Wheater (1993), Modelling of British Rainfall Using a Random Parameter Bartlett-Lewis Rectangular Pulse Model, Journal of Hydrology, Vol. 149(1-4), 67-95.
21. Rodriguez-Iturbe, I., D.R. Cox and V.S. Isham (1987), Some models for rainfall based on stochastic point processes, Proceedings of the Royal Society of London, Series A: Mathematical and Physical Sciences, Vol. 410, 269-288.
22. Seed, A.W., C. Draper, R. Srikanthan, and M. Menabde (2000), A multiplicative broken-line model for time series of mean areal rainfall, Water Resources Research, Vol. 36(8), 2395-2399. (Pubitemid 30610924)
23. Velghe, T., P.A. Troch, De F.P. Troch and J. van der Velde 1994, Evaluation of cluster-based rectangular pulses point process models for rainfall, Water Resources Research, Vol. 30, 2847-2857. (Pubitemid 287997)